while loop : logj base 2 ..
==> log1 + log2 + ... logn = log(n!) [since logab = loga + logb]
==> O(log(n^n)) = O(nlogn)

On Sun, Oct 28, 2012 at 3:56 AM, Siddharth Malhotra
<[email protected]>wrote:

> Can somebody explain how it is O(n log n).
> What is the significance of while loop in the above code?
>
> I understand that the for loop implies O(n),does the log n in the O(n log
> n) comes from the while loop?
> What if there where two while loops in the for loop separately?
>
> On Sat, Oct 27, 2012 at 3:26 AM, Pralay Biswas <[email protected]
> > wrote:
>
>> Yes!
>>
>>
>> On Fri, Oct 26, 2012 at 2:55 PM, rahul sharma <[email protected]>wrote:
>>
>>> for k=1 to n
>>> {
>>> j=k;
>>> while(j>0)
>>> j=j/2;
>>> }
>>> the complexity is big o is o(nlogn)
>>> am i ryt????
>>>
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